case stusy

Redefining agricultural machinery performance using Model-Based Development

Virtual testbed delivered

Faster design iterations
Industry :Manufacturing & Automotive
Services :Model-Based Development & Testing

BACKGROUND

Bringing simulation-first thinking to agricultural machinery

A global leader in agricultural machinery and equipment manufacturing partnered with Robosoft to boost the efficiency and reliability of its tractor driveline systems. The engagement focused on minimizing fuel consumption, enhancing transmission performance, and validating system behavior through high-fidelity simulation.

THE CHALLENGES

Addressing the

critical gaps

Prototype-heavy development

Prototype-heavy development

High reliance on physical prototypes drove up costs and slowed development cycles, making it difficult to iterate quickly on design alternatives.

System visibility

System visibility

There was no unified view into how driveline mechanics, hydraulics, and control dynamics interacted, making it hard to diagnose performance issues holistically.

Fuel efficiency

Fuel efficiency

Fuel consumption was difficult to measure and optimize across diverse operating conditions without a scalable testing environment.

Integrated Approach

THE ROBOSOFT SOLUTION

An integrated approach

Virtual driveline model

Virtual driveline model

We built a detailed simulation of a 95 kW Partial PST driveline in MATLAB R2021b using Simulink and Simscape, creating a virtual testbed that replaced early-stage physical prototyping.

Unified Simscape simulation

Unified Simscape simulation

Simscape components modelled gear sets, clutch dynamics, hydraulic circuits, and power-split mechanisms within a single integrated simulation environment.

Simulation-driven analytics

Simulation-driven analytics

We developed custom algorithms layered on top of the simulation to extract actionable insights on vehicle speed, output, and fuel efficiency from every run.

Rapid design comparison

Rapid design comparison

The MATLAB/Simulink environment enabled rapid iteration and side-by-side comparison of design alternatives, significantly accelerating engineering decision-making.

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KEY FEATURES
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VALUE DELIVERED

Clear outcomes

that drive growth

Faster development cycles
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Faster development cycles

Moving early validation from physical prototypes to simulation significantly reduced development time and cost across the design process.

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Data-driven design decisions

Rapid iteration and side-by-side comparison of design alternatives enabled faster, confident engineering decisions backed by simulation data.

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Improved fuel efficiency

Simulation-driven performance insights enabled targeted optimization of fuel consumption, contributing directly to the client's sustainability goals.

Build smarter, faster, and sustainable engineering solutions

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